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智能手表防水 泡温泉 外壳

智能手表都不能泡温泉 洗澡

可以考虑做智能手表的时候添加耐温耐水蒸汽的胶水 也可以考虑做防水汽的外壳 塑料透明保护壳 胶圈要和塑料壳之间用耐温耐水汽的胶水粘连 胶圈之间添加波纹 纹路 增加密封强度 耐压 用铰链链接 卡扣扣住 或者双卡扣

如果外壳需要留空间给按钮 用橡胶按钮加耐压防水胶 或者粘贴实体按钮 硬质按钮加橡胶密封层 注意连接处面积要大

旋转的按钮就不要旋转了 因为无法密封 比如苹果iwatch 只能点按

外壳一般有配套的表带 不用原来的连接装置

现在看来b站应该是有专人在负责讲解同一套课程了 我现在还在收到b站的培训通知短信

应该把相关的链接 信息收集在这里

remote jobs in china:

https://github.com/LinuxSuRen/remote-jobs-in-china

remote jobs from stack overflow:

收集总结流行的或者网页端的social media platform 方便爬取 mitm 发广告 智能交互

从social media的本源分析 有广播 报纸 电视 邮件 wiki BBS（论坛） 贴吧 博客 即时通讯 流媒体推送 订阅 内容平台

从形式上分析 有文章 评论 动态 聊天 视频 音频 图片

8种方式变现

https://www.xiaohongshu.com/web-login/canvas?redirectPath=http%3A%2F%2Fwww.xiaohongshu.com%2Fdiscovery%2Fitem%2F61fdc910000000000102be7b

Video delogo/inpainting

propainter remove watermark with tracking, entity segmentation

you can use clip for watermark detection, but you don’t know where. fuck. you better train it yourself.

watermark detection model

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import timm
# all other pytorch imports
# Not used but necessary when running on images
transforms = T.Compose([
T.Resize((256, 256)),
T.ToTensor(),
T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
# Create model
model = timm.create_model('efficientnet_b3a', pretrained=False, num_classes=2)
model.classifier = nn.Sequential(
nn.Linear(in_features=1536, out_features=625),
nn.ReLU(),
nn.Dropout(p=0.3),
nn.Linear(in_features=625, out_features=256),
nn.ReLU(),
nn.Linear(in_features=256, out_features=2)
)
# Load model weights
state_dict = torch.load('./model.pt')
model.load_state_dict(state_dict).eval().to(device)
# Sample Image
im = torch.randn(8, 3, 256, 256)
with torch.no_grad():
pred = model(im)
syms = F.softmax(pred, dim=1).detach().cpu().numpy().tolist()
for water_sym, clear_sym in syms:
# Do whatever you want with the watermark simlarity

image local contrast enhancement, for removing hard-to-detect watermarks

maybe you can use the same trick (context preserving sliding window) from your search engine to here (image preprocessing)!

paddleocr识别效果最好 可以识别水印位置 以及文字

Linear Contrast Stretching, HE, AHE, CLAHE of an image using matlab

Histogram Equalization (HE)

Adaptive Histogram Equalization (AHE)

Contrast Limited Adaptive Histogram Equalisation (CLAHE)

experiment path:

pyjom/tests/remove_subtle_watermark_local_contrast_ocr

bing query for image local contrast

darktable lua api and scripting

darktable local contrast darktable is an open-sourced photography postprocessing software

configurations:

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details: 443
highlights: 36
shadows: 25
midtone range: 0.16

imagej clahe local contrast enhancement

l2uwe L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion written in matlab

glcae Global and Local Contrast Adaptive Enhancement for Non-uniform Illumination Color Images in python

CNN-Based-X-ray-Morphological-Decomposition

github query for local image contrast

image processing basics Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation

contrast normalization is an implementation that applies local contrast normalization to images in matlab

contrast enhancement as a github topic

mclahe NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

deepcontrast A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.

mirnetv2 (TPAMI 2022) Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

pymusica is a contrast enhancement approach involving non linear mapping of Laplacian pyramid.

imWeightedThresholdedheq attempts to enhance contrast of a given image or video by employing a method called weighted thresholded histogram equalization (WTHE).

imagemagick wand local_contrast function

dual gamma clahe Automatic Contrast-Limited Adaptive Histogram Equalization With Dual Gamma Correction

imhblpce attempts to enhance contrast of a given image by employing a method called HBLPCE.

matlab localcontrast for image

global contrast enhancement

im2dhiseq attempts to enhance contrast of a given image by equalizing its two dimensional histogram.

previous research

deeplearning_inpainting:

https://github.com/Sanster/lama-cleaner

ffmpeg delogo:

https://www.jianshu.com/p/2eb1811b5fc6

https://hhsprings.bitbucket.io/docs/programming/examples/ffmpeg/blurring_unsharping/delogo_removelogo.html

https://securitronlinux.com/debian-testing/remove-a-logo-from-a-video-easily-with-ffmpeg/

opencv inpainting/blurring with edge blending

opencv morphlogical operations:

https://pyimagesearch.com/2021/04/28/opencv-morphological-operations/

javascript version in web:

https://nostarsnow.github.io/2019/01/20/typemonkey/

https://github.com/nostarsnow/typeMonkey.js

flownet nvidia

nvidia optical flow sdk supports all turing gpus (like gtx1660) and above except for gtx1650(tu117).

mmflow from openmmlab:

https://mmflow.readthedocs.io/en/latest/